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Titlebook: Document Analysis Systems V; 5th International Wo Daniel Lopresti,Jianying Hu,Ramanujan Kashi Conference proceedings 2002 Springer-Verlag G

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11#
發(fā)表于 2025-3-23 11:57:11 | 只看該作者
12#
發(fā)表于 2025-3-23 16:30:57 | 只看該作者
The Segmentation and Identification of Handwriting in Noisy Document Imagesocuments such as correspondence, it is not uncommon for handwritten annotations to be added as part of a note, correction, clarification, or instruction, or a signature to appear as an authentication mark. It is important to be able to segment and identify such handwriting so we can 1) locate, inter
13#
發(fā)表于 2025-3-23 18:19:13 | 只看該作者
The Impact of Large Training Sets on the Recognition Rate of Off-line Japanese Kanji Character Classracter pattern databases prevents us from verifying this assumption empirically for large data sets. Whereas the typical number of training samples has usually been between 100-200 patterns per category until now, newly collected databases and increased computing power allows us to experiment with a
14#
發(fā)表于 2025-3-23 22:12:05 | 只看該作者
Automatic Completion of Korean Words for Open Vocabulary Pen Interfacecandidates from a given prefix. In experiments, several different models for Korean words were tested for prediction performance. The results show that the best model can reduce the number of writing characters about 38% with 5 candidates.
15#
發(fā)表于 2025-3-24 04:11:18 | 只看該作者
16#
發(fā)表于 2025-3-24 10:34:41 | 只看該作者
17#
發(fā)表于 2025-3-24 12:54:57 | 只看該作者
A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors condition present in a text. In this method, the characteristics of character pattern deformations are expressed as a statistic of a difference distribution, and information represented by the difference distribution is integrated into the pseudo Bayes discriminant function. The formulation of inte
18#
發(fā)表于 2025-3-24 15:24:46 | 只看該作者
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysisssifiers only if they strongly complement each other. In this paper a complementarity-based analysis of sets of classifier is proposed for investigating the behaviour of multi-classifier systems, as new classifiers are added to the set. The experimental results confirm the theoretical evidence and a
19#
發(fā)表于 2025-3-24 21:34:41 | 只看該作者
20#
發(fā)表于 2025-3-25 01:56:24 | 只看該作者
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